Microservices, Containers, Docker and a Cloud-Native Architecture in the Middleware World

Posted in API Management, BPM, Cloud, Cloud-Native, Docker, EAI, ESB, Java / JEE, Microservices, Middleware, SOA on April 22nd, 2016 by Kai Wähner

In April 2016, I had two talks at JPoint in Moscow, Russia. The first talk was an existing talk about “How to Apply Big Data Analytics and Machine Learning to Real Time Processing”. The second talk was a brand new one: “Microservices and Containers in the Middleware World”. This article discusses and shows the new slide deck about how middleware is related to Microservices, Containers, Docker and Cloud-Native Architectures.

Key takeaways of the talk:

  • A cloud-native architecture enables flexible and agile development
  • Modern middleware leverages containers, Microservices and a cloud-native architecture
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Comparison: TIBCO ActiveMatrix BusinessWorks 6 / Container Edition vs. BW5

Posted in API Management, Cloud, Docker, ESB, Microservices, SOA on April 6th, 2016 by Kai Wähner

[This article was posted some time ago on the TIBCO Blog, already. I also added some information about BusinessWorks Container Edition (BW CE) where appropriate. Most of the characteristics defined below are true for both, BW6 and BW CE]

TIBCO ActiveMatrix BusinessWorks 6 (BW6) is a modern integration and service delivery platform ready for modern concepts such Mobile, Cloud, Internet of Things or Microservices. This article is no introduction to integration and service delivery platforms in general, but focuses on differentiators of BusinessWorks 6 compared to other integration solutions available on the market. If you want to see a general introduction to TIBCO ActiveMatrix BusinessWorks 6, explaining its basic concepts and capabilities such as:

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Streaming Analytics with Analytic Models (R, Spark MLlib, H20, PMML)

Posted in Analytics, Big Data, Business Intelligence, Hadoop, In Memory, NoSQL on March 3rd, 2016 by Kai Wähner

In March 2016, I had a talk at Voxxed Zurich about “How to Apply Machine Learning and Big Data Analytics to Real Time Processing”.

Kai_Waehner_at_Voxxed_Zurich

Finding Insights with R, H20, Apache Spark MLlib, PMML and TIBCO Spotfire

Big Data” is currently a big hype. Large amounts of historical data are stored in Hadoop or other platforms. Business Intelligence tools and statistical computing are used to draw new knowledge and to find patterns from this data, for example for promotions, cross-selling or fraud detection. The key challenge is how these findings can be integrated from historical data into new transactions in real time to make customers happy, increase revenue or prevent fraud.

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Framework and Product Comparison for Big Data Log Analytics and ITOA

Posted in Analytics, Big Data, Hadoop, Microservices on February 4th, 2016 by Kai Wähner

In February 2016, I presented a brand new talk at OOP in Munich: “Comparison of Frameworks and Tools for Big Data Log Analytics and IT Operations Analytics”. The focus of the talk is to discuss different open source frameworks, SaaS cloud offerings and enterprise products for analyzing big masses of distributed log events. This topic is getting much more traction these days with the emerging architecture concept of Microservices.

Key Take-Aways

  • Log Analytics enables IT Operations Analytics for Machine Data
  • Correlation of Events is the Key for Added Business Value
  • Log Management is complementary to other Big Data Components
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Microservices = Death of the ESB? (2016, Meetup Dublin)

Posted in API Management, Big Data, Cloud, Docker, EAI, ESB, IT Conferences, Microservices, SOA on January 29th, 2016 by Kai Wähner

I was invited to speak at Microservices Meetup Dublin this week. I updated my slide deck “Microservices – Death of the ESB?” … The meetup was fully booked with a waiting list; around 120 attendees came to Gild‘s office. (see attached link).

If you have not seen the slide deck last year, you should definitely take a look at this updated version with more recent information. I also incorporated valuable information from discussions with attendees in 2015’s sessions about this topic.

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Comparison of Stream Processing Frameworks and Products

Posted in Analytics, Business Intelligence, Hadoop, In Memory on October 25th, 2015 by Kai Wähner

See how products, libraries, and frameworks that full under ‘streaming data analytics’ use cases are categorized and compared.

Streaming Analytics processes data in real time while it is in motion. This concept and technology emerged several years ago in financial trading, but it is growing increasingly important these days due to digitalization and Internet of Things (IoT). The following slide deck from a recent talk at a conference covers:

  • Real world success stories from different industries (Manufacturing, Retailing, Sports)
  • Alternative Frameworks and Products for Stream Processing
  • Complementary Relationship to Data Warehouse, Apache Hadoop, Statistics, Machine Learning, Open Source R, SAS, Matlab, etc.
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Difference between a Data Warehouse and a Live Datamart?

Posted in Analytics, Big Data, Business Intelligence, In Memory on October 9th, 2015 by Kai Wähner

Data Warehouses have existed for many years in almost every company. While they are still as good and relevant for the same use cases as they were 20 years ago, they cannot solve new, existing challenges and those sure to come in a ever-changing digital world. The upcoming sections will clarify when to still use a Data Warehouse and when to use a modern Live Datamart instead.

What is a Data Warehouse (DWH)?

A Data Warehouse is a central repository of integrated data from more disparate sources. It stores historical data to create analytical reports for knowledge workers throughout the enterprise. A DWH includes a server, which stores the historical data and a client for analysis and reporting.

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Docker Containers in the Middleware Universe

Posted in Cloud, Docker, EAI, ESB, Microservices, SOA on September 7th, 2015 by Kai Wähner

Docker is one of the hottest technologies right now.

Relation to SOA, ESB and Microservices

Many TIBCO customers already ask how they can leverage Docker in combination with SOA, ESB and Microservices, and what TIBCO’s strategy is. I just want to refer to an article I published recently, it shows some insights about TIBCO’s future strategy from the Docker perspective:

Docker Containers in the TIBCO Universe

The following shows a snippet of the article, which explains how Docker is related to Microservices.

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Microservices = Death of the Enterprise Service Bus (ESB)? – Slide Deck and Video Recording

Posted in API Management, Cloud, EAI, ESB, Java / JEE, Microservices, SOA on June 29th, 2015 by Kai Wähner

In 2015, the middleware world focuses on two buzzwords: Docker and Microservices. Software vendors still sell products such as an Enterprise Service Bus (ESB) or Complex Event Processing (CEP) engines. How is this related?

Docker is a fascinating technology to deploy and distribute modules (middleware, applications, services) quickly and easily. Most people agree that Docker will change the future of software development in the next years. I will do another blog post about how Docker is related to TIBCO and how you can deploy and distribute Microservices with Docker and TIBCO products such as TIBCO EMS and BusinessWorks 6 easily.

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Right Technology, Framework or Tool to Build Microservices

Posted in Analytics, API Management, Big Data, Cloud, EAI, ESB, In Memory, Java / JEE, SOA on May 27th, 2015 by Kai Wähner

Last week, I gave a talk at a German conference (Karlsruher Entwicklertag 2015) about Microservices. The following slide deck shows plenty of different technologies (e.g. REST, WebSockets), frameworks (e.g. Apache CXF, Apache Camel, Puppet, Docker) or tools (e.g. TIBCO BusinessWorks, API Exchange) to realize Microservices.

Abstract: How to Build Microservices

Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. This way you get shorter time to results and increased flexibility.

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